Smart software framework for the prediction of accidents consequences in process industries

At present, the likelihood of accidents linked with hazardous materials release is an increasing problem due to the intensification of industrial production and enormous increase of the risk of terrorist attacks. Organizations responsible for emergency planning have to be prepared for real-time consequence analysis. Accurate predictions and appropriate decision can significantly minimize the impact of accidental release of hazardous materials. Consequence analysis requires the access to extensive amounts of information, and its application without appropriate software and hardware infrastructure is nowadays quite unreal, therefore, utilization of a smart software framework seems to be the most straightforward procedure of hazard analysis. The presented submission is focused on the description of the design and development of a software framework used for fast prediction of the consequences of industrial accidents linked with the release of hazardous materials. Architecture of this framework involves the integration of an online meteorological system, GIS database and a consequence modeling subsystem.